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Smoothing

Known as: Smooth-down, Smoothes down, Smoothing (disambiguation) 
In statistics and image processing, to smooth a data set is to create an approximating function that attempts to capture important patterns in the… Expand
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Papers overview

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Highly Cited
2013
Highly Cited
2013
  • S. Särkkä
  • Institute of Mathematical Statistics textbooks
  • 2013
  • Corpus ID: 32945148
Filtering and smoothing methods are used to produce an accurate estimate of the state of a time-varying system based on multiple… Expand
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Highly Cited
2013
Highly Cited
2013
Filtering and smoothing methods are used to produce an accurate estimate of the state of a time-varying system based on multiple… Expand
Highly Cited
2008
Highly Cited
2008
In this paper, we present incremental smoothing and mapping (iSAM), which is a novel approach to the simultaneous localization… Expand
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Highly Cited
2005
Highly Cited
2005
Abstract.In this paper we propose a new approach for constructing efficient schemes for non-smooth convex optimization. It is… Expand
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Review
1999
Review
1999
We survey the most widely-used algorithms for smoothing models for language n -gram modeling. We then present an extensive… Expand
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Highly Cited
1997
Highly Cited
1997
Abstract Recent theory argues that concern about job security creates an incentive for managers to smooth earnings in… Expand
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Highly Cited
1989
Highly Cited
1989
A spatial smoothing scheme is further investigated in the context of coherent signal classification. It is shown that by making… Expand
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Review
1985
Review
1985
This paper is a critical review of exponential smoothing since the original work by Brown and Holt in the 1950s. Exponential… Expand
Highly Cited
1981
Highly Cited
1981
Coherent processing of synthetic aperture radar (SAR) data makes images susceptible to speckles. Basically, the speckles are… Expand
Highly Cited
1967
Highly Cited
1967
In this paper we generalize the results of [4] and modify the algorithm presented there to obtain a better rate of convergence.